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Yohan et al., 2014 - Google Patents

Automatic named entity identification and classification using heuristic based approach for telugu

Yohan et al., 2014

Document ID
1856783902443844366
Author
Yohan P
Sasidhar B
Basha S
Govardhan A
Publication year
Publication venue
International Journal of Computer Science Issues (IJCSI)

External Links

Snippet

Abstract Named Entity Recognition (NER) and Classification becomes more and more important in many natural language processing applications. It helps machine to recognize named entities in text and assign them with the appropriate categories. NER for Telugu is a …
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Classifications

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    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G06F17/2775—Phrasal analysis, e.g. finite state techniques, chunking
    • G06F17/278—Named entity recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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    • G06F17/3066—Query translation
    • G06F17/30669—Translation of the query language, e.g. Chinese to English
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    • G06F17/2765—Recognition
    • G06F17/277—Lexical analysis, e.g. tokenisation, collocates
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    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
    • G—PHYSICS
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    • G—PHYSICS
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